Title :
Adaptive second-order Volterra filtering and its application to second-order drift phenomena
Author :
Kim, Kiho ; Kim, Sung Bae ; Powers, Edward J. ; Miksad, Richard W. ; Fischer, F. Joseph
Author_Institution :
Offshore Technol. Center, Texas Univ., Austin, TX, USA
fDate :
4/1/1994 12:00:00 AM
Abstract :
This paper presents an adaptive second-order Volterra filter and its application to model-test data of a prototype tension leg platform (TLP). The least-squares approach of a second-order Volterra model and its adaptive filtering algorithm based on recursive least-squares are introduced. The second-order Volterra filter is applied to identify the linear and quadratically nonlinear relationship between irregular sea wave excitation and the surge response of a tension leg platform. Next, a deconvolution technique, based on the impulse invariance standard Z-transform, is utilized to recover the linear and quadratic forces exerted on the TLP
Keywords :
Z transforms; adaptive filters; filtering and prediction theory; least squares approximations; series (mathematics); transforms; adaptive filtering algorithm; adaptive second-order Volterra filtering; deconvolution; impulse invariance standard Z-transform; irregular sea wave excitation; least-squares approach; linear forces; linear relationship; model-test data; prototype tension leg platform; quadratic forces; quadratically nonlinear relationship; recursive least-squares; second-order drift; surge response; tension leg platform; Adaptive filters; Digital filters; Filtering; Frequency domain analysis; Hydrodynamics; Integrated circuit modeling; Kernel; Leg; Nonlinear filters; Nonlinear systems;
Journal_Title :
Oceanic Engineering, IEEE Journal of